The increasing use of electronic health records (EHR) has allowed for an unprecedented ability to perform analysis on patient data. By training a number of statistical machine learning classifiers over the unstructured text found in admission notes and operating procedures, prediction of a surgical procedure’s outcome can be performed. We extend an initial bag-of-words model to a bag-of-concept...

Proximity Distribution Kernel is an effective method for bag-offeatues based image representation. In this paper, we investigate the soft assignment of visual words to image features for proximity distribution. Visual word contribution function is proposed to model ambiguous proximity distributions. Three ambiguous proximity distributions is developed by three ambiguous contribution functions. ...

This paper introduces a novel method for improving story boundary identification (SBI) for a speech recognition outcome. We explore an SBI improvement method using latent semantic analysis (LSA) with noun unification. The proposed system uses the phonetic forms of words (pronunciation forms) to identify story boundaries based on noun unification and edit distance to estimate the cost of edit op...

In the paper a new method is suggested to effectively capture pronunciation variability in ASR tasks. Its basic principle consists in structuring word-related phonetic feature space. For each word in the system dictionary, given its “ideal” transcription, as a result of application of specially designed modification rules and constraints, a network of its phonetic realisations is generated (the...